Joinpoint regression analysis and application on Istanbul stock-exchange

In this study, the stocks closing values of the 21 company traded on Istanbul Stock Exchange (ISE) index of 30 2011-2012 in June and 2013 in April-May and value changes of the National ISE 30 index are determined by the method of Joinpoint Regression Analysis examining the resulting significant increase in and decreases. Taken into consideration during the stock closing values of each company and the value of ISE 30 index has been established separately. the linear and nonlinear Joinpont Regression Models were compared by the value of mean square error. The stock closing values of the companies and significant changes in the value of the ISE 30 index evaluated, examined which days the break points emerged, explored the reasons for the changes and interpreted for years and days. In addition, linear and non-linear models established by the method of Joinpoint Regression Analysis, companies that are taken into account in the study and value in the month of June 2013 for value of the ISE 30 index estimated. In the study, Joinpoint Regression Programme is used. As a result, the estimated values deviate not too much from the actual values, and therefore Joinpoint Regression Analysis may be used in combination with other methods have been decided. Key Words: Istanbul Stock-Exchange 30, Joinpoint Regression Analysis, Mean of Square Error